Home Page Spotlights
Tenenbaum was recognized for his work "combining computational models with behavioral experiments to shed light on human learning, reasoning, and perception, and exploring how to bring artificial intelligence closer to the capabilities of human thining."
Beloved professor conducted pioneering research on imbuing machines with human-like intelligence, including the ability to understand stories.
On March 20, 2019, CBMM External Advisory Committee member and CBMM collaborator Dr. Demis Hassabis presented progress on self-learning systems work at Google DeepMind with examples from AlphaGo and AlphaStar.
On March 19, 2019, CBMM External Advisory Committee member and CBMM collaborator Dr. Amnon Shashua presented progress on autonomous driving and other AI based adaptive technologies.
Explore the science of intelligence through lectures, tutorials, and courses offered by the CBMM community, and experiment with modeling and data analysis tools used in neuroscience, cognitive science, and AI, to study intelligence in brains and machines!
He is a professor at MIT and is the director of the Center for Brains, Minds, and Machines. Cited over 100,000 times, his work has had a profound impact on our understanding of intelligence, in both biological neural networks and artificial ones...
The Center is excited to announce another distinguished colleague as a research collaborator. Prof. Torralba is also the Director of the MIT Quest for Intelligence and Director of the MIT-IBM Watson AI Lab.
A warm "Thank You!" to everyone for another wonderful year of exciting advances at the Center for Brains, Minds and Machines. Looking forward to 2019!
“We selected Josh … because of his willingness to partner with experts across the board - from computer scientists and engineers to neuroscientists and cognitive psychologists … His work is bridging the gap between two seemingly distinct fields.”
Prof. Lorenzo Rosasco of the Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS) has won a European Research Council (ERC consolidator) grant with the project "Efficient algorithms for sustainable machine learning".
*Deadline Extended* - Alphabet (formerly Google) X announces residency program that is geared towards those who want to apply their AI abilities in experimental yet highly practical ways to make meaningful progress against seemingly intractable problems.
Advances in AI have spurred high interest in the technology, but the road to making machines intelligent remains a long one, said MIT's Josh Tenenbaum at the EmTech conference.
While artificial intelligence has been busy besting humans at Go and spawning eerily personable Alexas, some neuroscientists have a different hope: that the types of algorithms driving those technologies can also yield some insight into the human brain.
In simulations, robots move through new environments by exploring, observing, and drawing from learned experiences: Humans can usually navigate spaces safely without thinking too much. Robots, on the other hand, struggle with such navigational concepts.
New investment supports intelligence research, student fellowships: Fujitsu and CBMM announced a multi-year philanthropic partnership focused on advancing the science and engineering of intelligence while supporting the next generation of researchers.